Private deployment means the LLM model, inference engine, and all data processing happens entirely within your own infrastructure — your servers, your cloud account, your network. Ailoitte engineers access your environment only during the deployment phase via your controlled access protocols. Once deployed, the system runs entirely independently. No data is ever routed through Ailoitte systems.
Enterprise AI Infrastructure
Private AI Deployment
On Your Infrastructure
You shouldn't have to choose between AI and security — we make sure you don't. Deploy enterprise-grade LLMs entirely within your private infrastructure. Your servers, your network, your rules.
Zero data egress
ISO 27001:2013 certified
Live in under 4 weeks
$
100%On-Premise
0 bytesData Leaves
HIPAACompliant
The Real Problem
Most Enterprises Are Forced Into a Dangerous Trade-Off
Cloud AI promises speed. Your compliance team says no. We break that deadlock.
Without Private AI
Your data, their servers
Every prompt sent to a cloud LLM is your data leaving your walls — patient records, trading signals, source code, IP. That's not a risk you should accept.
- ✕Patient records and PHI sent to third-party cloud APIs
- ✕Financial data and trading models exposed externally
- ✕Source code and proprietary algorithms outside your perimeter
- ✕Vendor lock-in with no visibility into data retention
- ✕HIPAA, GDPR, SOC 2 non-compliance risk on every call
With Ailoitte Private AI
Full AI power. Zero exposure.
We deploy frontier-quality LLMs directly onto your infrastructure — private cloud, bare-metal servers, or air-gapped network. The model comes to your data.
- ✓LLM runs entirely inside your VPC — no data touches the internet
- ✓HIPAA, SOC 2, GDPR, ISO 27001 compliance by architecture
- ✓Full audit logs, explainability, and RBAC access controls
- ✓Supports Llama, Mistral, Falcon, Phi, BioMedLM and more
- ✓Deployed and production-ready in under 4 weeks
The Deployment Process
From Assessment to Production in 4 Weeks
A structured, security-first deployment process with zero disruption to your existing infrastructure.
01
Infrastructure & Security Audit
We map your stack, identify compliance requirements — HIPAA, SOC 2, GDPR — and design the deployment architecture.
Week 102
Model Selection & Fine-Tuning
We select the right open-weight LLM for your domain and fine-tune on your private datasets sans data egress.
Week 2–303
Private Deployment & Integration
We deploy to your infra, wire it into your apps via secure internal APIs, and configure RBAC and logging.
Week 3–404
Compliance Validation & Handover
Full audit trail, architecture diagrams, and reports delivered. Ongoing support and updates provided.
Week 4+Industry Solutions
Built for the Industries That Can't Compromise
Three verticals with the strictest data security requirements — and the most to gain from private AI.
Healthcare & Life Sciences
Clinical AI That Stays in Your Hospital
Deploy LLMs for clinical documentation and diagnostic support fully inside your network. HIPAA-compliant by architecture.
- ✓Clinical notes summarization on EHR
- ✓ABDM-compatible AI zero PHI exposure
- ✓BioMedLM fine-tuned on clinical datasets
HIPAAABDMHL7 FHIR
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Financial Services & Fintech
Zero-Trust AI for Your Trading Floor
Process trading data, compliance reports, and client financials with AI without any signal leaving your secured network.
- ✓Regulatory analysis — RBI, SEC, FCA
- ✓Risk modeling inside your firewall
- ✓Fraud detection pipelines air-gapped
SOC 2PCI-DSSFinBERT
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Enterprise & Government
Classified-Grade AI for Your Ops
Internal knowledge management, code review, legal analysis — processed by an LLM that lives inside your firewall.
- ✓Codebase-aware AI dev assistant
- ✓Private RAG for internal knowledge
- ✓Contract analysis with no cloud exposure
Llama 3MistralRBAC
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Compatible Technology
Any LLM. Any Infrastructure. Fully Yours.
We support the full open-weight model ecosystem — deployed on your private cloud, colocation, or on-premise hardware.
Open-weight models supported
Llama 3.1 / 3.2Meta
Mistral / MixtralMistral AI
BioMedLMHealthcare
FinBERTFinance
Falcon 40BTII UAE
Phi-3 / Phi-4Microsoft
Qwen 2.5Alibaba
Custom Fine-TunedYour Data
Infrastructure targets
AWS VPCPrivate Cloud
Azure GovSovereign
GCP PrivateOrg Policy
On-Premise GPUA100 / H100
Air-GappedClassified
Hospital LANHIPAA Zone
Why Ailoitte
We're an AI-Native Team, Not a Consulting Firm
100+ AI-powered products shipped since 2017. We know where deployments break — and we build the guardrails in from day one.
01 /
Security-First Architecture
mTLS encryption, RBAC, audit logs, and network isolation are non-negotiable defaults — not add-ons.
02 /
No Vendor Lock-In
Open-weight models you own. Weights, scripts, and documentation handed over. No dependency on us.
03 /
AI Velocity Pods
Dedicated AI team, not account managers. Outcome-based delivery, not billable hours. Production in 4 weeks.
04 /
Domain Fine-Tuning
We fine-tune on your datasets and workflows so the model genuinely understands your domain and terminology.
05 /
Compliance Included
Full audit trails, security architecture diagrams, and DPIA documentation — legal teams satisfied from day one.
"We deploy enterprise-grade AI solutions entirely within your private infrastructure — your servers, your network, your rules. Full LLM capability with zero data leaving your walls."
100+AI products shipped
22+Countries served
$193M+Client funding raised
<4 wksAvg deployment time
5×Faster than others
Frequently Asked Questions
Yes — we support the full open-weight model ecosystem: Llama 3.1/3.2, Mistral, Mixtral, Phi-3/4, Falcon, BioMedLM (healthcare), and FinBERT (financial). We support custom fine-tuning using your internal datasets, all conducted within your environment. Training data stays entirely on your infrastructure.
Standard timeline is 3–4 weeks from kickoff to production. Week 1: infrastructure audit and architecture design. Weeks 2–3: model selection, fine-tuning, staging deployment. Week 4: production deployment, integration testing, compliance documentation.
We work with what you have — NVIDIA A100, H100, V100, or consumer-grade GPUs for smaller models. For organisations without existing GPU infrastructure, we help spec and procure the right hardware. We also deploy on private cloud VMs within your own account boundaries.
Private deployment is the most compliant architecture for all major regulatory frameworks because no data ever leaves your environment. We provide compliance documentation for HIPAA, GDPR, SOC 2 Type II, ISO 27001, PCI-DSS, and DPDPA.
Ollama is a great starting point for experimentation. Our service goes significantly further: domain-specific fine-tuning, production-grade inference serving (vLLM, TGI) with load balancing and failover, secure API gateway with RBAC, RAG pipeline integration, and observability.
Yes — we offer tiered support plans covering model updates, fine-tuning refresh cycles, infrastructure maintenance, and incident support. All updates use the same security process as the initial deployment — no data leaves your environment.
No full handover required. We work alongside your internal team using your preferred access protocols — temporary IAM roles, SSH to a bastion host, VPN access, or pair programming. Everything is documented so your team can fully manage the system.
Let's Build It
Ready to Deploy AI That Stays on Your Terms?
Book a free 30-minute private AI assessment. We'll evaluate your infrastructure, compliance requirements, and use cases — and tell you exactly what a deployment would look like.
No commitment required · NDA available · Global Availability
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